© 2015

An Introduction to Queueing Theory

Modeling and Analysis in Applications


Part of the Statistics for Industry and Technology book series (SIT)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. U. Narayan Bhat
    Pages 1-14
  3. U. Narayan Bhat
    Pages 15-23
  4. U. Narayan Bhat
    Pages 25-36
  5. U. Narayan Bhat
    Pages 37-83
  6. U. Narayan Bhat
    Pages 85-125
  7. U. Narayan Bhat
    Pages 127-157
  8. U. Narayan Bhat
    Pages 159-176
  9. Srinivas R. Chakravarthy
    Pages 177-199
  10. U. Narayan Bhat
    Pages 201-214
  11. U. Narayan Bhat
    Pages 215-231
  12. U. Narayan Bhat
    Pages 233-238
  13. Krishna M. Kavi
    Pages 273-293
  14. Back Matter
    Pages 295-339

About this book


This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a wide interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. This edition includes additional topics in methodology and applications.

Key features:

• An introductory chapter including a historical account of the growth of queueing theory in more than 100 years.

• A modeling-based approach with emphasis on identification of models.

• Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics.

• Applications in manufacturing and, computer and communication systems.

• A chapter on matrix-analytic method as an alternative to the traditional methods of analysis of queueing systems.

• A comprehensive treatment of statistical inference for queueing systems.

• A chapter on the simulation of queueing systems.

The second edition of An Introduction of Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research.

Review of the first edition:

"This book is precisely what the title says it is. It is aimed at beginning graduate students and advanced undergraduate students in industrial engineering, electrical engineering, computer science, operations research, management science, mathematics and covers a surprisingly large number of topics, including some that do not get much attention in other, much larger books...At the end of many chapters is a welcome Remarks section...(that) provide further references...Is there a need for another book on queueing theory? For this book - yes, there is."-American Statistical Association and the American Society for Quality. Review appeared in TECHNOMETRICS, Feb. 2010. VOL. 52.


Data Collection Decision Problems Markov Models Markovian Queueing Systems Operations Research Poisson Process Queueing Models Queueing Networks Queueing Theory Stationarity Tests Statistical Distributions Statistical Inference Stochastic Processes

Authors and affiliations

  1. 1.Department of Statistical ScienceSouthern Methodist UniversityDallasUSA

About the authors

U. Narayan Bhat is a Professor Emeritus in the Statistical Science Department at Southern Methodist University, Texas, USA. His research interests include: queueing theory, probability models for computer and communication systems, reliability and statistics and applied probability and statistics.

Bibliographic information

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“This is a well-written textbook for upper-level undergraduate or graduate students in computer science or engineering who study network performance, design or other technological disciplines that include queueing theory. … All necessary concepts on the theory of Markov processes as well as techniques for modeling and analysis of queueing systems are given in examples.” (Vyacheslav Abramov, zbMATH 1333.60001, 2016)